Publications and communications of Bertrand Cornélusse

Ewbank, B.* , Colot, A.* , Cornélusse, B., & Glavic, M. (2024). A C-HIL based data-driven DC-DC power electronics converter model for system-level studies. In 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). Grenoble, France: IEEE.

Bailly, G.* , Cornet, M.* , Glavic, M., & Cornélusse, B. (2024). A Bilevel Programming Approach for Distribution Network Development Planning. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/319836.

Colot, A., Cornélusse, B., Cortés, J., & Dall'Anese, E. (2024). Feedback-based safe gradient flow for optimal regulation of virtual power plants. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/322799.

Stegen, T., Paoletti, S., Giannitrapani, A., Glavic, M., & Cornélusse, B. (2024). Sizing distributed energy resources in a renewable energy community with a grid-aware internal market structure [Paper presentation]. PSCC 2024, Paris, France.

Bailly, G., Cornet, M., Glavic, M., & Cornélusse, B. (2023). A one-leader multi-follower approach to distribution network development planning. IEEE PES Innovative Smart Grid Technologies Conference Europe. doi:10.1109/isgteurope56780.2023.10408702

Bailly, G., Cornet, M., Glavic, M., & Cornélusse, B. (October 2023). A one-leader multi-follower approach to distribution network development planning (Pre-publication) [Paper presentation]. IEEE PES ISGT EUROPE 2023, Grenoble, France.

Stegen, T.* , Colot, A.* , & Cornélusse, B. (24 June 2023). Fully distributed real-time voltage control in active distribution networks with large penetration of solar inverters [Paper presentation]. PowerTech 2023, Beograd, Serbia. doi:10.1109/PowerTech55446.2023.10202833

Colot, A., Bastin Bertrand, Ewbank, B., Frebel, F., Bidaine, B., & Cornélusse, B. (2023). Hybrid power solution modelling based on artificial intelligence [Paper presentation]. CIRED2023, Rome, Italy. doi:10.1049/icp.2023.0900

Colot, A., Chen, Y., Cornélusse, B., Cortes, J., & Dall'Anese, E. (2023). Optimal Power Flow Pursuit via Feedback-based Safe Gradient Flow. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/321538.

Dumas, J., Dubois, A., Thiran, P., Jacques, P., Contino, F., Cornélusse, B., & Limpens, G. (2022). The energy return on investment of whole energy systems: application to Belgium. Biophysical Economics and Sustainability. doi:10.48550/arXiv.2205.06727

Colot, A., Giannitrapani, A., Paoletti, S., & Cornélusse, B. (31 March 2022). Enhanced neural network-based polytopic model for large-signal black-box modeling of power electronic converters [Paper presentation]. PowerTech2023. doi:10.1109/PowerTech55446.2023.10202812

Dakir, S., & Cornélusse, B. (2022). On the use of data-driven techniques to solve the microgrid sizing problem. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/291688.

Dakir, S., & Cornélusse, B. (2022). Combined thermal and electrical optimization for the sizing of residential microgrids. In 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE. doi:10.1109/EEEIC/ICPSEurope54979.2022.9854541

Dumas, J., Wehenkel, A., Lanaspeze, D., Cornélusse, B., & Sutera, A. (01 January 2022). A deep generative model for probabilistic energy forecasting in power systems: normalizing flows. Applied Energy, 305, 117-871. doi:10.1016/j.apenergy.2021.117871

Dumas, J., Cointe, C., Wehenkel, A., Sutera, A., Fettweis, X., & Cornélusse, B. (2021). A Probabilistic Forecast-Driven Strategy for a Risk-Aware Participation in the Capacity Firming Market. IEEE Transactions on Sustainable Energy. doi:10.1109/TSTE.2021.3117594

Dumas, J., Cornélusse, B., Fettweis, X., Giannitrapani, A., Paoletti, S., & Vicino, A. (2021). Probabilistic forecasting for sizing in the capacity firming framework. In 2021 IEEE Madrid PowerTech. doi:10.1109/PowerTech46648.2021.9494947

Boukas, I., Ernst, D., Théate, T., Bolland, A., Huynen, A., Buchwald, M., Wynants, C., & Cornélusse, B. (2021). A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding. Machine Learning. doi:10.1007/s10994-021-06020-8

Dakir, S., & Cornélusse, B. (2021). Combining optimization and simulation for microgrid sizing. In Powertech2021 Proceedings. doi:10.1109/PowerTech46648.2021.9494788

Dakir, S., El Mekki, S., & Cornélusse, B. (2021). Data driven multi-stage sizing of microgrids with grid capacity connection cost. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/263436.

Dumas, J., cointe, C., Fettweis, X., & Cornélusse, B. (2021). Deep learning-based multi-output quantile forecasting of PV generation. In 2021 IEEE Madrid PowerTech. doi:10.1109/PowerTech46648.2021.9494976

Dumas, J., Dakir, S., Liu, C., & Cornélusse, B. (2021). Coordination of operational planning and real-time optimization in microgrids. Electric Power Systems Research. doi:10.1016/j.epsr.2020.106634

Totaro, S., Boukas, I., Jonsson, A., & Cornélusse, B. (2021). Lifelong control of off-grid microgrid with model-based reinforcement learning. Energy, 232. doi:10.1016/j.energy.2021.121035

Dumas, J., Cornélusse, B., Giannitrapani, A., Paoletti, S., & Vicino, A. (2020). Stochastic and deterministic formulations for capacity firming nominations. In 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). doi:10.1109/PMAPS47429.2020.9183646

Dakir, S., Boukas, I., Lemort, V., & Cornélusse, B. (2020). Sizing and Operation of an Isolated Microgrid with Building Thermal Dynamics and Cold Storage. IEEE Transactions on Industry Applications. doi:10.1109/TIA.2020.3005370

Dakir, S., El Mekki, S., & Cornélusse, B. (2020). On the number of representative days for sizing microgrids with an industrial load profile. In PMAPS Liège 2020 Proceedings.

Boukas, I., El Mekki, S., & Cornélusse, B. (2019). Data-driven Parameterized Policies for Microgrid Control. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/240141.

Dakir, S., Boukas, I., Lemort, V., & Cornélusse, B. (2019). Sizing and Operation of an Isolated Microgrid with Cold Storage. In Powertech Milano 2019 Proceedings. doi:10.1109/PTC.2019.8810700

Dakir, S., Boukas, I., Lemort, V., & Cornélusse, B. (2019). Sizing and Operation of an Isolated Microgrid with Building Thermal Dynamics and Cold Storage. In EEEIC Genoa 2019 Proceedings. doi:10.1109/EEEIC.2019.8783514

Duchesne, L., Savelli, I., & Cornélusse, B. (2019). Sensitivity Analysis of a Local Market Model for Community Microgrids. In PowerTech Milano 2019 Proceedings. doi:10.1109/PTC.2019.8810614

Vangulick, D., Cornélusse, B., & Ernst, D. (2019). Blockchain: A novel approach for the consensus algorithm using Condorcet Voting procedure. In Proceedings of the IEEE International Conference on Decentralized Applications and Infrastructures. doi:10.1109/DAPPCON.2019.00011

Cornélusse, B., Savelli, I., Paoletti, S., Giannitrapani, A., & Vicino, A. (2019). A community microgrid architecture with an internal local market. Applied Energy, 242, 547-560. doi:10.1016/j.apenergy.2019.03.109

Dumas, J., Boukas, I., Manuel de Villena Millan, M., Mathieu, S., & Cornélusse, B. (2019). Probabilistic Forecasting of Imbalance Prices in the Belgian Context. In 2019 16th International Conference on the European Energy Market (EEM). doi:10.1109/EEM.2019.8916375

Dumas, J., & Cornélusse, B. (2018). Classification of load forecasting studies by forecasting problem to select load forecasting techniques and methodologies. (arXiv version). ORBi-University of Liège. https://orbi.uliege.be/handle/2268/231948.

Savelli, I., Cornélusse, B., Giannitrapani, A., Paoletti, S., & Vicino, A. (15 September 2018). A New Approach to Electricity Market Clearing With Uniform Purchase Price and Curtailable Block Orders. Applied Energy, Volume 226, 618–630. doi:10.1016/j.apenergy.2018.06.003

Vangulick, D., Cornélusse, B., & Ernst, D. (2018). Blockchain for peer-to-peer energy exchanges: Probabilistic approach of Proof of Stake. In CIRED WORKSHOP 2018.

Vangulick, D., Cornélusse, B., & Ernst, D. (2018). Blockchain for peer-to-peer energy exchanges: design and recommendations (additional work). In CIRED Workshop 2018 Ljubljana, Slovania.

Boukas, I., Ernst, D., & Cornélusse, B. (2018). Real-Time Bidding Strategies from Micro-Grids Using Reinforcement Learning. In Proceedings of CIRED Workshop 2018.

Boukas, I., Ernst, D., Papavasiliou, A., & Cornélusse, B. (2018). Intra-day Bidding Strategies for Storage Devices Using Deep Reinforcement Learning. In International Conference on the European Energy Market, Łódź 27-29 June 2018 (pp. 6).

Cornélusse, B., Ernst, D., & Lachi, S. (2018). Optimal operation and fair profit allocation in community microgrids. In Proceedings of CIRED Workshop 2018.

Savelli, I., Cornélusse, B., Giannitrapani, A., Paoletti, S., & Vicino, A. (2018). Introducing Block Orders in the Italian Day-Ahead Electricity Market. In Proceedings of the 15th international conference on the European Energy Market, Lodz 27-29 June 2018. doi:10.1109/EEM.2018.8469858

Vangulick, D., Cornélusse, B., & Ernst, D. (2018). Blockchain for peer-to-peer energy exchanges: design and recommendations. In Proceedings of the XX Power Systems Computation Conference (PSCC2018). doi:10.23919/PSCC.2018.8443042

Li, J., Xiong, R., Mu, H., Cornélusse, B., Vanderbemden, P., Ernst, D., & Yuan, W. (May 2018). Design and real-time test of a hybrid energy storage system in the microgrid with the benefit of improving the battery lifetime. Applied Energy, 218, 470-478. doi:10.1016/j.apenergy.2018.01.096

Mathieu, S., Olivier, F., Ernst, D., & Cornélusse, B. (2018). Effect of Voltage Constraints on the Exchange of Flexibility Services in Distribution Networks. In Proceedings of the 9th Conference on Innovative Smart Grid Technology North America (ISGT 2018). doi:10.1109/ISGT.2018.8403328

Cornélusse, B. (06 September 2017). Optimization and machine learning for smart-microgrids [Paper presentation]. 5th Microgrid global innovation forum (EMEA, Asia-PAC, Latin America).

Cornélusse, B., Ernst, D., Warichet, L., & Legros, W. (2017). Efficient management of a connected microgrid in Belgium. In Proceedings of the 24th International Conference on Electricity Distribution, Glasgow, 12-15 June 2017. doi:10.1049/oap-cired.2017.0211

Vangulick, D., Cornélusse, B., Vanherck, T., Devolder, O., & Ernst, D. (2017). E-CLOUD, the open microgrid in existing network infrastructure. In Proceedings of the 24th International Conference on Electricity Distribution. doi:10.1049/oap-cired.2017.0221

Georges, E., Cornélusse, B., Ernst, D., Lemort, V., & Mathieu, S. (February 2017). Residential heat pump as flexible load for direct control service with parametrized duration and rebound effect. Applied Energy, 187, 140-153. doi:10.1016/j.apenergy.2016.11.012

Cornélusse, B., & Ernst, D. (2017). GREDOR. Outcomes and recommendations. University of Liège. https://orbi.uliege.be/handle/2268/205034

Li, J., Cornélusse, B., Vanderbemden, P., & Ernst, D. (2017). A SC/battery Hybrid Energy Storage System in the Microgrid. Energy Procedia, 142, 3697–3702. doi:10.1016/j.egypro.2017.12.264

Mathieu, S., Ernst, D., & Cornélusse, B. (2017). Agent-based analysis of dynamic access ranges to the distribution network. In Proceedings of the 6th European Innovative Smart Grid Technologies (ISGT). doi:10.1109/ISGTEurope.2016.7856191

Yang, Q., Le Blond, S., Cornélusse, B., Vanderbemden, P., & Li, J. (2017). A Novel Fault Detection and Fault Location Method for VSC-HVDC Links Based on Gap Frequency Spectrum Analysis. Energy Procedia, 142, 2243-2249. doi:10.1016/j.egypro.2017.12.625

Gemine, Q., Ernst, D., & Cornélusse, B. (October 2016). Active network management for electrical distribution systems: problem formulation, benchmark, and approximate solution. Optimization and Engineering, 18 (3), 587-629. doi:10.1007/s11081-016-9339-9

Gemine, Q., Cornélusse, B., Glavic, M., Fonteneau, R., & Ernst, D. (2016). A Gaussian mixture approach to model stochastic processes in power systems. In Proceedings of the 19th Power Systems Computation Conference (PSCC'16). doi:10.1109/PSCC.2016.7540921

Georges, E., Cornélusse, B., Ernst, D., Louveaux, Q., Lemort, V., & Mathieu, S. (2016). Direct control service from residential heat pump aggregation with specified payback. In Proceedings of the 19th Power Systems Computation Conference (PSCC). doi:10.1109/PSCC.2016.7540835

Cornélusse, B., Vangulick, D., Glavic, M., & Ernst, D. (2016). Further validation and extensions of the Global Capacity ANnouncement procedure for distribution systems. In CIRED Workshop Proceedings, Helsinki 14-15 June 2016.

Cornélusse, B., & Fonteneau, R. (02 February 2016). Artificial Intelligence and Energy [Paper presentation]. Liège Créative.

Georges, E., Cornélusse, B., Ernst, D., Lemort, V., & Mathieu, S. (26 January 2016). Residential heat pumps as flexible loads for direct control service with constrained payback [Paper presentation]. First Seminar on Demand Response, Brussels, Belgium.

Mathieu, S., Louveaux, Q., Ernst, D., & Cornélusse, B. (2016). DSIMA: A testbed for the quantitative analysis of interaction models within distribution networks. Sustainable Energy, Grids and Networks, 5, 78 - 93. doi:10.1016/j.segan.2015.11.004

Cornélusse, B., Vangulick, D., Glavic, M., & Ernst, D. (October 2015). Global capacity announcement of electrical distribution systems: A pragmatic approach. Sustainable Energy, Grids and Networks, 4, 43-53. doi:10.1016/j.segan.2015.10.001

Cornélusse, B., Leroux, A., Glavic, M., & Ernst, D. (2015). Graph matching for reconciling SCADA and GIS of a distribution network. In Proceedings of the International Conference on Electricity Distribution, CIRED 2015.

Cornélusse, B., Vangulick, D., Glavic, M., & Ernst, D. (2015). A process to address electricity distribution sector challenges: the GREDOR project approach. In Proceedings of the International Conference on Electricity Distribution, CIRED 2015.

Mathieu, S., Ernst, D., & Cornélusse, B. (2015). Macroscopic analysis of interaction models for the provision of flexibility in distribution systems. In Proceedings of the International Conference on Electricity Distribution, CIRED 2015.

Gerard, D., Louveaux, Q., & Cornélusse, B. (2015). A NLP-MILP iterating algorithm for operational planning in electrical distribution systems. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/200220.

Gemine, Q., Ernst, D., Louveaux, Q., & Cornélusse, B. (2014). Relaxations for multi-period optimal power flow problems with discrete decision variables. In Proceedings of the 18th Power Systems Computation Conference (PSCC'14). doi:10.1109/PSCC.2014.7038396

Mathieu, S., Louveaux, Q., Ernst, D., & Cornélusse, B. (2014). A quantitative analysis of the effect of flexible loads on reserve markets. In Proceedings of the 18th Power Systems Computation Conference (PSCC). doi:10.1109/PSCC.2014.7038428

Gemine, Q., Ernst, D., & Cornélusse, B. (2014). Gestion active d’un réseau de distribution d’électricité : formulation du problème et benchmark. In Proceedings des 9èmes Journées Francophones de Planification, Décision et Apprentissage.

Gemine, Q., Karangelos, E., Ernst, D., & Cornélusse, B. (2013). Active network management: planning under uncertainty for exploiting load modulation. In Proceedings of the 2013 IREP Symposium - Bulk Power Systems Dynamics and Control - IX. IEEE. doi:10.1109/IREP.2013.6629406

Cornélusse, B. (2010). Supervised Learning for Sequential and Uncertain Decision Making Problems - Application to Short-Term Electric Power Generation Scheduling [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/82167

Cornélusse, B., Geurts, P., & Wehenkel, L. (12 December 2009). Tree based ensemble models regularization by convex optimization [Paper presentation]. NIPS-09 workshop on Optimization for Machine Learning, Whistler, Canada.

Cornélusse, B., Vignal, G., Defourny, B., & Wehenkel, L. (2009). Supervised learning of intra-daily recourse strategies for generation management under uncertainties. In PowerTech, 2009 IEEE Bucharest (pp. 1-8). doi:10.1109/PTC.2009.5282226

Cornélusse, B., Wehenkel, L., & Wera, C. (2007). Automatic learning for the classification of primary frequency control behaviour. In Power Tech, 2007 IEEE Lausanne (pp. 273-278). doi:10.1109/PCT.2007.4538329